LRSLibrary: Low-Rank and Sparse tools for Background Modeling and Subtraction in Videos

Authors : A Sobral (Lab MIA, Univ. La Rochelle, France), T. Bouwmans (Lab MIA, Univ. La Rochelle, France), E. Zahzah (Lab L3i, Univ. La Rochelle, France)

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Chapter Description

The LRSLibrary provides a collection of low-rank and sparse decomposition algorithms in MATLAB. The library was designed for motion segmentation in videos, but it can be also used or adapted for other computer vision problems. Currently the LRSLibrary contains a total of 70 matrix-based and tensor-based algorithms. The LRSLibrary was tested successfully in MATLAB R2013b both x86 and x64 versions.